Pavan Mallikarjun

1.5k citations
41 papers · 862 · h-index 16

Impact in

Papers in

Pavan Mallikarjun

37 papers receiving 843 citations

Peers

Pavan Mallikarjun
Comparison fields: 5 of 78
  • Psychiatry and Mental health 316
  • Cognitive Neuroscience 279
  • Biological Psychiatry 30
  • Experimental and Cognitive Psychology 109
  • Clinical Psychology 130
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Citations per year

Countries citing papers authored by Pavan Mallikarjun

Since Specialization
Citations

This map shows the geographic impact of Pavan Mallikarjun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pavan Mallikarjun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Mallikarjun more than expected).

Fields of papers citing papers by Pavan Mallikarjun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Mallikarjun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pavan Mallikarjun. The network helps show where Pavan Mallikarjun may publish in the future.

Co-authors

The 25 scholars most cited alongside Pavan Mallikarjun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pavan Mallikarjun Line = papers co-authored together Pavan Mallikarjun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201191
2 201090
3 201871
4 201769
5 201167
6 201866
7 200550
8 201049
9 201639
10 202037
11 202334
12 202130
13 202123
14 201020
15 202217
16 202315
17 202115
18 202115
19 202210
20
Cortical thickness and oscillatory phase resetting: a proposed mechanism of salience network dysfunction in schizophrenia.
20148

About Pavan Mallikarjun

Pavan Mallikarjun is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging and Clinical Psychology, having authored 41 papers that have together received 862 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (11 papers), Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Psychological and Temporal Perspectives Research (2 papers) and Hallucinations in medical conditions (2 papers). The work is most often cited by research in Psychiatry and Mental health (316 citations), Cognitive Neuroscience (279 citations), Biological Psychiatry (30 citations), Experimental and Cognitive Psychology (109 citations) and Clinical Psychology (130 citations). Pavan Mallikarjun has collaborated with scholars based in United Kingdom, India and Australia. Frequent co-authors include Peter F. Liddle, Lena Palaniyappan, Rachel Upthegrove, Verghese Joseph, Thomas P. White, Femi Oyebode, Deirdre A. Lane, Steven Marwaha, Isabel Morales‐Muñoz and Matthew R. Broome. Their work appears in journals such as The British Journal of Psychiatry, Translational Psychiatry, Biological Psychiatry, European Psychiatry and BMJ Open.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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